Record filtered YOLO dataset evidence
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@@ -132,7 +132,8 @@ This file now starts with the current implementation status. Older preparation/b
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- [x] Add per-sample YOLO dataset audit diagnostics for parsed labels, median box area, small-box share and AOI-specific warning codes.
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- [x] Add deterministic visual YOLO label QA contact sheets before spending more CPU on another training run.
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- [x] Filter no-data/low-variance pure-empty negative tiles from operator YOLO exports before the next training run.
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- [ ] Regenerate the AOI1024 cleanpx YOLO dataset with low-variance negative filtering and rerun visual contact-sheet QA before training.
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- [x] Regenerate the AOI1024 cleanpx YOLO dataset with low-variance negative filtering and rerun visual contact-sheet QA before training.
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- [ ] Train one inactive candidate from the filtered AOI1024 cleanpx YOLO dataset and gate it through the positive-AOI plus split-background promotion workflow.
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- [ ] Apply promoted V1 default building detector only after explicit operator review of the emitted `.env` updates, followed by rebuild/restart and browser/runtime smoke.
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## Sprint 8 status
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